Site Reliability Engineer

August 1

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Construction • Artificial Intelligence • Deep Learning • Machine Learning • Construction Tech

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Description

• Build clear visibility into system performance and reliability to help identify issues before they get out of control. • Optimize incident response processes to ensure minimal downtime for our customers. • Build and optimize infrastructure to ensure system reliability and efficiency, allowing us to serve an increasingly large number of customers. • Automate manual processes wherever possible to help create additional bandwidth for the Product Engineering team. • Collaborate closely with the Product Engineering team to help drive best practices and be a champion for system reliability.

Requirements

• 5+ years with experience in Python (preferred) or another FP Language • 5+ years of experience working in a full stack or back end focused engineering role within an agile, cloud based environment • Experience with Kubernetes, Docker, and Airflow • Experience with GCS (preferred) or AWS • Experience with SQL and deep database knowledge • Experience with automating manual processes • Experience with DataDog or similar monitoring tools • Experience developing processes with people and systems and fostering adoption of those processes • Bachelor’s degree in Computer Science or other technical discipline